Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g2/E01822.hea (756 bytes) 
E01822 12 500 5000
E01822.mat 16x1+24 1000.0(0)/mV 16 0 112 25170 0 I
E01822.mat 16x1+24 1000.0(0)/mV 16 0 126 8875 0 II
E01822.mat 16x1+24 1000.0(0)/mV 16 0 14 -16789 0 III
E01822.mat 16x1+24 1000.0(0)/mV 16 0 -119 -17110 0 aVR
E01822.mat 16x1+24 1000.0(0)/mV 16 0 48 -11599 0 aVL
E01822.mat 16x1+24 1000.0(0)/mV 16 0 70 29126 0 aVF
E01822.mat 16x1+24 1000.0(0)/mV 16 0 -107 19787 0 V1
E01822.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20988 0 V2
E01822.mat 16x1+24 1000.0(0)/mV 16 0 43 -7118 0 V3
E01822.mat 16x1+24 1000.0(0)/mV 16 0 -14 -13631 0 V4
E01822.mat 16x1+24 1000.0(0)/mV 16 0 14 6863 0 V5
E01822.mat 16x1+24 1000.0(0)/mV 16 0 53 14843 0 V6
# Age: 55
# Sex: Male
# Dx: 67741000119109,111975006,164930006,425623009,164934002
# Rx: Unknown
# Hx: Unknown